Application of Artificial Intelligence in Face Recognition Research
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 106
Special Issue Editor
Interests: social perception; emotion; attractiveness computing; EEG/ERP; digital phenotyping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The human face conveys diverse information encompassing emotions, the focus of attention, gender, age, and identity. The computational and neural basis of the human perceptual system’s ability to decode this information from a human face have generated much interest. Recently, cognitive neuroscientists have gained novel insights into the mechanism of face perception by applying machine learning to the analysis of behavioral, electrophysiological, and neuroimaging data. Accessible applications for automatic face recognition have empowered engineers to develop innovative man–machine interface and efficient analytical tools to quantify the expressiveness of facial information. This Special Issue, titled "Application of Artificial Intelligence in Face Recognition Research," aims to compile cutting-edge face recognition research assisted by artificial intelligence, showcasing how AI is transforming the landscape of face recognition research across various disciplines. We welcome all types of articles, including preliminary technical reports, research articles, and review articles. Potential research topics for this Special Issue include, but are not limited to, the following.
- ML (machine learning)-based analysis of behavior and neural activation relevant to face recognition;
- Novel application, system, or user-interface using automatic face recognition;
- Proposition of new algorithm for face recognition;
- Comparisons of biological and artificial systems for face recognition.
Dr. Hirokazu Doi
Guest Editor
Manuscript Submission Information
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Keywords
- face
- machine learning
- image processing
- neural system
